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Postdoctoral In Reinforcement Learning Jobs in Virginia

The postdoctoral associate will have opportunities to collaborate with experts in AI and machine learning. The post-doctoral associate will also be responsible for data management and dissemination ...

Postdoctoral Associate Apply now Back to search results Job no: 536240 Work type: Research Faculty ... in Scientific Machine Learning (SciML). They will be expected to collaborate with members of the ...

Postdoctoral Associate Apply now Back to search results Job no: 531898 Work type: Research Faculty ... in learning new techniques; must be able to follow verbal and written instructions; be observant ...

Postdoctoral Associate Apply now Back to search results Job no: 536557 Work type: Research Faculty ... Strong programming proficiency in Python and experience with deep learning frameworks such as ...

Postdoctoral Associate Apply now Back to search results Job no: 536321 Work type: Research Faculty ... learning. Required Qualifications - Ph.D. in Chemistry, Chemical Engineering, Materials Science ...

Postdoctoral Associate Apply now Back to search results Job no: 536659 Work type: Research Faculty ... in machine learning and molecular simulation Demonstrated a strong publication record Overtime ...

Postdoctoral Associate Apply now Back to search results Job no: 536195 Work type: Research Faculty ... The position involves conducting research in federated learning, and network optimization for 6G ...

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Postdoctoral In Reinforcement Learning information

What is the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?

AspectPostdoctoral In Reinforcement LearningPostdoctoral In Machine Learning
Required CredentialsPhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learningPhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning
Work EnvironmentAcademic labs, research institutions, industry R&D teams focused on reinforcement learning applicationsAcademic labs, research institutions, industry R&D teams working on various machine learning techniques
Industry UsagePrimarily in AI research, robotics, gaming, and autonomous systemsBroader applications including data analysis, predictive modeling, and AI research

Postdoctoral In Reinforcement Learning specializes in research related to decision-making algorithms and autonomous systems, whereas Postdoctoral In Machine Learning covers a wider range of AI techniques. Both roles require similar credentials but differ in focus and application areas.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Reinforcement Learning, and why are they important?

To thrive as a Postdoctoral Researcher in Reinforcement Learning, you need a PhD in computer science or a related field, with deep expertise in machine learning, statistics, and algorithm development. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with reinforcement learning libraries are typically required. Strong analytical thinking, problem-solving ability, collaboration, and scientific communication skills help you excel in research teams and publish impactful work. These competencies are vital to advancing state-of-the-art research, developing novel algorithms, and contributing to the academic and industrial progress in AI.

What are some common challenges faced by postdoctoral researchers in reinforcement learning, and how can they be addressed?

Postdoctoral researchers in reinforcement learning often face challenges such as balancing independent research projects with collaborative work, staying up-to-date with rapidly evolving literature, and managing the pressure to publish in top conferences. Effective time management, regular engagement with the research community through seminars and workshops, and seeking mentorship from senior colleagues can help address these challenges. Additionally, collaborating with interdisciplinary teams can offer fresh perspectives and support, making it easier to navigate complex research problems.

What is a Postdoctoral Researcher in Reinforcement Learning?

A Postdoctoral Researcher in Reinforcement Learning is an individual who has completed a PhD and conducts advanced research in the field of reinforcement learning, a branch of artificial intelligence focused on how agents take actions in environments to maximize rewards. These researchers often work in academic, industrial, or governmental research settings, collaborating on projects that advance the theoretical foundations or practical applications of reinforcement learning. Their responsibilities may include designing experiments, developing algorithms, publishing papers, and mentoring graduate students.
What are popular job titles related to Postdoctoral In Reinforcement Learning jobs in Virginia? For Postdoctoral In Reinforcement Learning jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Postdoctoral In Reinforcement Learning jobs? Cities in Virginia with the most Postdoctoral In Reinforcement Learning job openings:
Postdoctoral Associate

$62K/yr

Full-time

Posted 26 days ago


Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

194th of 539 rated colleges and universities


Job description

Postdoctoral Associate
Job no: 536409
Work type: Research Faculty
Senior management: College of Engineering
Department: Chemical Engineering
Location: Blacksburg, Virginia
Categories: Engineering, Research / Scientific
Job Description
A postdoctoral associate position in the area of organoid design and single-cell methodologies is available in the Department of Chemical Engineering, Virginia Tech (Blacksburg, VA, USA). The primary focus of the postdoctoral associate will be to integrate organoid development with single-cell omics methodologies. The postdoctoral associate will have opportunities to collaborate with experts in AI and machine learning. The post-doctoral associate will also be responsible for data management and dissemination of scientific results.
The successful candidate will join a collaborative and interdisciplinary team at Virginia Tech, which integrates organoids, materials, and single-cell transcriptomics. Candidates should demonstrate all relevant qualifications (see required and preferred qualifications below) in their application packet.
Required Qualifications
- PhD in Chemical Engineering, Biomedical Engineering, Materials Science and Engineering, Biological Sciences, Chemistry or related field.
- PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Strong background and knowledge in organoid development.
• Strong background and knowledge in cell-based methodologies.
• Strong track record in scientific productivity and publications
• Experience and background in managing multiple projects simultaneously
• Excellent communication skills
Preferred Qualifications
• Experience with single-cell omics technologies
• Prior experience in multi-disciplinary projects
• Demonstrated ability to work independently and in collaboration with investigators in other disciplines.
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Restricted
Salary Information
Starting at $62,232; commensurate with experience
Hours per week
40
Review Date
05/29/2026
Additional Information
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact (insert name) at (insert email address) during regular business hours at least 10 business days prior to the event.
Advertised: May 13, 2026
Applications close:
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About Virginia Tech

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Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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